Programs
- Bachelor of Science with a major in Applied Mathematics
- Bachelor of Science with a major in Mathematics
- Bachelor of Science with a major in Pre-doctoral Mathematics
- Bachelor of Arts with a major in Mathematics
- Bachelor of Science in Statistics and Data Science
The UE mathematics programs are distinctive with a curriculum that allows for early exposure to upper level courses and the opportunity to explore multiple career paths.
Bachelor of Science with a major in Applied Mathematics
This degree program offers a firm foundation in applied mathematics by combining a rigorous program of study in mathematics with a concentration in one or more disciplines in which mathematical tools are used to solve real-world problems. Areas of application include, business administration, cognitive science, computer science, economics, and the physical or biological sciences.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I ECON 102 – Principles of Microeconomics QM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |
| Sophomore | MATH 323 – Calculus III ACCT 210 – Principles of Accounting I |
MATH 324 – Differential Equations CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability MATH - Elective MKT 325 – Introduction to Marketing MGT 377 - Organizational Behavior |
MATH 341 – Linear Algebra MATH 466 – Statistics FIN 361 – Fundamentals of Finance |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling Business – Elective |
MATH 373 – Numerical Methods MATH - Elective Business – Elective |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I ECON 102 – Principles of Microeconomics QM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |
| Sophomore | MATH 323 – Calculus III ACCT 210 – Principles of Accounting I |
MATH 324 – Differential Equations CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability MATH - Elective MKT 325 – Introduction to Marketing MGT 377 - Organizational Behavior |
MATH 373 – Numerical Methods MATH 466 – Statistics FIN 361 – Fundamentals of Finance |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling Business – Elective |
MATH 341 – Linear Algebra MATH - Elective Business – Elective |
Recommended Electives
- MATH 330 – Theory of Interest
- ECON 300 – Regression Analysis
These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in business administration. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I | MATH 222 – Calculus II CS 210 – Intro to Computer Science |
| Sophomore | MATH 323 – Calculus III CS 215 – Data Structures and algorithms |
MATH 324 – Differential Equations MATH 341 – Linear Algebra CS 220 – Logic Design |
| Junior | MATH 365 – Probability MATH - Elective CS - Elective |
MATH 466 – Statistics MATH - Elective CS 290 – Object-Oriented Design |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling CS - Elective |
MATH 373 – Numerical Methods CS - Elective |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I | MATH 222 – Calculus II CS 210 – Intro to Computer Science |
| Sophomore | MATH 323 – Calculus III CS 215 – Data Structures and algorithms |
MATH 324 – Differential Equations MATH 341 – Linear Algebra CS 220 – Logic Design |
| Junior | MATH 365 – Probability MATH - Elective CS - Elective |
MATH 373 – Numerical Methods MATH 466 – Statistics CS 290 - Object-Oriented Design |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling CS - Elective |
MATH - Elective CS - Elective |
Recommended MATH and CS Electives
- MATH 370 – Discrete and Combinatorial Mathematics
- CS 381 – Formal Languages
- CS 415 - Cryptography
These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in computer science. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I ECON 101 – Principles of Macroeconomics QM 160 – Introduction to Data Analytics |
MATH 222 – Calculus II ECON 102 – Principles of Microeconomics |
| Sophomore | MATH 323 – Calculus III | MATH 324 – Differential Equations MATH 341 – Linear Algebra CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability MATH - Elective ECON 345 – Intermediate Microeconomics |
MATH 466 – Statistics MATH - Elective ECON 345 – Intermediate Microeconomics |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling ECON 300 – Regression Analysis |
MATH 373 – Numerical Methods ECON - Elective |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I ECON 101 – Principles of Macroeconomics QM 160 – Introduction to Data Analytics |
MATH 222 – Calculus II ECON 102 – Principles of Microeconomics |
| Sophomore | MATH 323 – Calculus III ECON 345 – Intermediate Microeconomics |
MATH 324 – Differential Equations MATH 341 – Linear Algebra ECON 346 – Intermediate Macroeconomics CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability ECON 300 – Regression Analysis |
MATH 373 – Numerical Methods MATH 466 – Statistics |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling MATH 300 – Regression Analysis |
MATH - Elective ECON - Elective |
Recommended Mathematics Electives
- MATH 330 – Theory of Interest
These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in economics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I QM 160 – Introduction to Data Analytics |
MATH 222 – Calculus II PHYS 210 – Calculus Physics I |
| Sophomore | MATH 323 – Calculus III PHYS 211 – Calculus Physics II CS 210 – Intro to Computer Science |
MATH 324 – Differential Equations MATH 341 – Linear Algebra PHYS 213 – Intro to Modern Physics PHYS 214 – Modern Physics Laboratory |
| Junior | MATH 365 – Probability MATH - Elective |
MATH 466 – Statistics MATH - Elective PHYS 305 – Mathematical Physics |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling PHYS 401 – Advanced Electronmagnetics |
MATH 373 – Numerical Methods PHYS 416 - Statistical Thermodynamics |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I QM 160 – Introduction to Data Analytics |
MATH 222 – Calculus II PHYS 210 – Calculus Physics I |
| Sophomore | MATH 323 – Calculus III PHYS 211 – Calculus Physics II CS 210 – Intro to Computer Science |
MATH 324 – Differential Equations MATH 341 – Linear Algebra PHYS 213 – Intro to Modern Physics PHYS 214 – Modern Physics Laboratory |
| Junior | MATH 365 – Probability MATH - Elective |
MATH 373 – Numerical Methods MATH 466 – Statistics PHYS 305 – Mathematical Physics |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling PHYS 401 – Advanced Electronmagnetics |
MATH - Elective PHYS 416 - Statistical Thermodynamics |
These are sample plans of study. The courses listed are required for a B.S. with a major in applied mathematics and an area of application in physics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Bachelor of Science with a major in Mathematics
This program is well-suited for students who seek certification to teach mathematics at the senior high, junior high, and middle school levels and also for students who desire a Bachelor of Science degree with a major in mathematics and a minor (or second major) in an area unrelated to mathematics. The course work in mathematics is sufficiently rigorous to provide preparation for graduate work in mathematics.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I | MATH 222 – Calculus II QM 160 – Intro to Data Analytics |
| Sophomore | MATH 323 – Calculus III MATH – Elective |
MATH 341 – Linear Algebra CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability MATH - Elective |
MATH 466 – Statistics |
| Senior | MATH 420 – Intro to Real Analysis MATH 495 – Senior Seminar: Mathematical Modeling |
MATH 445 – Abstract Algebra |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I | MATH 222 – Calculus II QM 160 – Intro to Data Analytics |
| Sophomore | MATH 323 – Calculus III MATH – Elective |
MATH 341 – Linear Algebra CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability Math 420 – Intro to Real Analysis |
MATH 445 – Abstract Algebra MATH 466 – Statistics |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling | MATH – Elective |
These are sample plans of study. The courses listed are required for a B.S. with a major in mathematics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I EDUC 150 – Foundations and Diversity in American Education PSYC 121 – Introduction to Psychology |
MATH 222 – Calculus II PSYC 226 – Child and Adolescent Psychology EDUC 320 – Teaching Strategies K-12 |
| Sophomore | MATH 323 – Calculus III MATH 370 – Combinatorial Mathematics EDUC 322 – Special Needs Students K-12 QM 160 – Intro to Data Analytics |
MATH 341 – Linear Algebra EDUC 385 – Multicultural Understanding CS 205 – Programming for the Sciences |
| Junior | MATH 355 – Foundations of Geometry MATH 365 – Probability EDUC 363 – Teaching in Secondary Schools EDUC 456 – Methods of Teaching Math |
MATH 425 – Complex Variables MATH 466 – Statistics EDUC 443 – Curriculum in Middle School |
| Senior | MATH 420 – Intro to Real Analysis MATH 495 – Senior Seminar: Mathematical Modeling EDUC 428 – Reading in the Content Area |
EDUC 435 – Supervised Teaching Seminar EDUC 436 – Supervised Teaching |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I EDUC 150 – Foundations and Diversity in American Education PSYC 121 – Introduction to Psychology |
MATH 222 – Calculus II PSYC 226 – Child and Adolescent Psychology EDUC 320 – Teaching Strategies K-12 |
| Sophomore | MATH 323 – Calculus III MATH 355 – Foundations of Geometry EDUC 322 – Special Needs Students K-12 QM 160 – Intro to Data Analytics |
MATH 341 – Linear Algebra EDUC 385 – Multicultural Understanding CS 205 – Programming for the Sciences |
| Junior | Math 365 – Probability Math 420 – Intro to Real Analysis EDUC 363 – Teaching in Secondary Schools EDUC 456 – Methods of Teaching Math |
MATH 445 – Abstract Algebra MATH 466 – Statistics EDUC 443 – Curriculum in Middle School |
| Senior | MATH 370 – Combinatorial Mathematics MATH 495 – Senior Seminar: Mathematical Modeling EDUC 428 – Reading in the Content Area |
EDUC 435 – Supervised Teaching Seminar EDUC 436 – Supervised Teaching |
These are sample plans of study. The courses listed are required for a B.S. with a major in mathematics education. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Bachelor of Science in Pre-doctoral Mathematics
Pre-doctoral mathematics is a highly selective program for students who intend to pursue graduate study in mathematics leading to a doctoral degree. It involves undergraduate research and a curriculum that includes many courses typically offered only at the graduate level. Only two students are accepted per year.
Bachelor of Arts with a major in Mathematics
This curriculum is designed for students seeking exposure to advanced mathematics as part of a broad-based liberal arts curriculum. It is particularly suitable for students interested in pursuing graduate study in mathematics or related disciplines.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I QM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |
| Sophomore | MATH 323 – Calculus III | MATH 341 – Linear Algebra CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability MATH 420 – Intro to Real Analysis |
MATH – Elective MATH – Elective |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling | MATH 445 – Abstract Algebra |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I QM 160 – Intro to Data Analytics |
MATH 222 – Calculus II |
| Sophomore | MATH 323 – Calculus III | MATH 341 – Linear Algebra CS 205 – Programming for the Sciences |
| Junior | MATH 365 – Probability MATH 420 – Intro to Real Analysis |
MATH 445 – Abstract Algebra MATH – Elective |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling | MATH – Elective |
These are sample plans of study. The courses listed are required for a B.A. with a major in mathematics. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Mathematics Minor
This program is designed to equip students in other disciplines with quantitative reasoning, analytical skills and the ability to work in a problem solving environment.
Requirements: Mathematics 221, 222; at least four mathematics courses numbered 300 or above; Engineering 390 and Physics 305 may be applied towards this total.
Bachelor of Science in Statistics and Data Science
This degree program is designed for students pursuing a career as a data scientist or statistician. It combines cutting-edge techniques in data science with mathematically rigorous statistics. Statistics courses in the curriculum are project-driven, with an emphasis on the analysis of real-world data using statistical methods implemented by powerful statistical software. This program prepares students for a career in business or industry utilizing statistics or data science but is also sufficiently rigorous to prepare a student for graduate work in a related field. Learn more about the Statistics and Data Science program.
Statistics and Data Science Minor
The minor in Statistics and Data Science is designed to equip students in other disciplines with the quantitative, technical, and communication skills necessary to advance in their field of study. The program provides opportunities for students to apply their statistical knowledge to their discipline and a variety of real-world problems.
Requirements: Statistics 266, 267, 300, at least 3 semester hours of computer programming courses specified by the Department of Mathematics and two 300- or 400- level applied statistics courses.
Sample 4-year Plan Beginning in an Odd Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I | MATH 222 – Calculus II STAT 266 – Introductory Statistics with R |
| Sophomore | CS 210 – Fund. of Programming I STAT 267 – Experimental Design MATH 365 – Probability |
MATH 341 – Linear Algebra Math 466 – Statistics CS 215 – Fund. of Programming II |
| Junior | STAT 361 – Linear Models STAT 474 – Techniques for Large Data Sets |
Harlaxton |
| Senior | MATH 495 – Senior Seminar: Mathematical Modeling | STAT 362 – Machine Learning STAT 493 – Statistical Modeling |
Sample 4-year Plan Beginning in an Even Year
| Fall | Spring | |
|---|---|---|
| Freshman | MATH 221 – Calculus I | MATH 222 – Calculus II STAT 266 – Introductory Statistics with R CS 210 – Fund. of Programming I |
| Sophomore | STAT 267 – Experimental Design MATH 365 – Probability CS 215 – Fund. of Programming II |
MATH 341 – Linear Algebra Math 466 – Statistics |
| Junior | STAT 361 – Linear Models | STAT 362 – Machine Learning |
| Senior | STAT 474 – Techniques for Large Data Sets MATH 495 – Senior Seminar: Mathematical Modeling |
STAT 493 – Statistical Modeling |
These are sample plans of study. The courses listed are required for a B.S. in statistics and data science. Selected elective courses are also required. You will develop your own plan of study in consultation with your academic advisors.
Office Phone
812-488-1234
Office Email
math@evansville.edu
Office Location
Room 314, Koch Center for Engineering and Science
